DevOps Engineer IV

Job Responsibilities: : Platform & Cloud Architecture: Define and evolve Platform Engineering architecture and strategy across AWS and Azure where applicable, ensuring scalability, availability, reliability, security, operability, and cost efficiency. Define standardized reference architectures, engineering standards, and reusable platform patterns across networking, compute, storage, IAM, Kubernetes, serverless, observability, and application delivery. Architect standardized cloud platforms and paved roads that enable Engineering teams to consume infrastructure and platform capabilities through secure self-service mechanisms. Lead architecture and design reviews and ensure solutions align with enterprise engineering, security, governance, and operational standards. Evaluate emerging cloud-native technologies and establish architectural direction based on technical and business requirements. Infrastructure as Code & Automation: Define architecture and standards for reusable Infrastructure as Code using Terraform/OpenTofu, including modular design, versioning, testing, governance, and lifecycle management. Establish IaC patterns that can be consistently adopted across multiple products, environments, and cloud accounts. Define automation strategies that reduce manual infrastructure, deployment, and operational activities. Establish architecture patterns for integrating infrastructure provisioning with CI/CD and GitOps workflows. Define approaches for infrastructure lifecycle management, configuration validation, drift detection, policy enforcement, and automated remediation. Guide development of platform automation, APIs, utilities, and integrations using appropriate programming and scripting technologies. GitOps & Continuous Delivery: Define and drive GitOps architecture, standards, and operating models using Argo CD, Flux, or equivalent technologies. Establish standards for declarative configuration, repository architecture, environment promotion, automated reconciliation, secrets management, drift detection, rollback, RBAC, and policy enforcement. Integrate GitOps practices with Kubernetes, Infrastructure as Code, CI/CD pipelines, security controls, and enterprise governance. Define reusable deployment patterns including blue/green, canary, progressive delivery, automated rollback, and policy-driven deployments. Guide teams in resolving complex GitOps, CI/CD, and deployment architecture challenges. Kubernetes & Cloud-Native Platforms: Define architecture and engineering standards for enterprise container platforms, including Amazon EKS and Azure AKS where applicable. Establish Kubernetes architecture patterns covering cluster design, networking, workload isolation, identity, security, scalability, observability, storage, and lifecycle management. Define reusable patterns for deploying and operating cloud-native applications and shared platform services. Evaluate Kubernetes ecosystem technologies and establish standards based on enterprise requirements. Provide architectural guidance for complex Kubernetes platform, networking, security, scaling, and reliability challenges. Platform & Developer Enablement: Architect Internal Developer Platform capabilities that simplify infrastructure provisioning and application delivery for product Engineering teams. Define reusable platform services, templates, APIs, workflows, and self-service capabilities. Establish golden paths/paved roads that abstract infrastructure complexity while maintaining security, governance, reliability, and operational controls. Partner with Engineering teams to understand developer needs and evolve platform capabilities and standards. Define platform success metrics covering adoption, developer productivity, automation coverage, reliability, deployment efficiency, and reduction of manual effort. AI & Agentic Engineering: Define architecture patterns for incorporating AI and agentic capabilities into DevOps and Platform Engineering workflows. Identify high-va